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    Area of Science:

    • Biomedical Engineering
    • Wearable Technology
    • Signal Processing

    Background:

    • Surface biopotential measurements face challenges with electrode placement, signal fidelity, and susceptibility to motion artifacts and electromagnetic interference.
    • Existing methods often involve a trade-off between signal quality and robustness in real-world conditions.

    Purpose of the Study:

    • To propose and demonstrate a wearable instrumentation patch for measuring local bioelectric field projections.
    • To overcome the limitations of traditional referenced biopotential measurements, particularly motion artifacts and electromagnetic interference.

    Main Methods:

    • Utilized passive differential referencing circuits, active shielding, and a wide-dynamic-range instrumentation amplifier.
    • Developed a wearable instrumentation patch to measure local bioelectric field projections instead of referenced biopotentials.
    • Demonstrated patch functionality for recording electrocardiogram (ECG) and electroencephalograph (EEG) signals.

    Main Results:

    • The instrumentation patch successfully tracked biopotentials with magnitudes from 1μV to 5mV.
    • The patch demonstrated robust performance even in the presence of significant motion artifacts.
    • Successful use cases for ECG and EEG recording were demonstrated.

    Conclusions:

    • The proposed wearable instrumentation patch offers a novel approach to biopotential measurement, enhancing signal quality and robustness.
    • This technology has the potential to improve wearable diagnostic tools for applications like ECG and EEG monitoring.
    • The patch effectively addresses key challenges in wearable biopotential sensing, paving the way for more reliable physiological monitoring.